CN109190325A - Crowd evacuation Path Planning Simulation method based on the analysis of pedestrian's crowding - Google Patents
Crowd evacuation Path Planning Simulation method based on the analysis of pedestrian's crowding Download PDFInfo
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- CN109190325A CN109190325A CN201811380035.7A CN201811380035A CN109190325A CN 109190325 A CN109190325 A CN 109190325A CN 201811380035 A CN201811380035 A CN 201811380035A CN 109190325 A CN109190325 A CN 109190325A
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Abstract
The present disclosure discloses the crowd evacuation emulation methods based on pedestrian's crowding, comprising: obtains evacuation demographic data, determines pedestrian's present confinement state；According to the current restrained condition of pedestrian, the restraining force of pedestrian is calculated；The crowded restraining force according to suffered by pedestrian, crowded assessment is carried out to region locating for pedestrian, and the probability that some evacuation path is selected when pedestrian's evacuation is calculated according to assessed value, M evacuation path of maximum probability is supplied to evacuation crowd, to realize the planning to crowd evacuation emulation path.
Description
Technical field
This disclosure relates to evacuation emulation technical field, more particularly to the evacuation goal programming analyzed based on pedestrian's crowding
Emulation mode.
Background technique
The statement of this part is only to improve background technique relevant to the disclosure, not necessarily constitutes the prior art.
With social materialss and spiritual civilization development at full speed, gradually increase in the large-scale assembly that all kinds of public places are held
More, crowd's in these places often has higher density, and is in an unsure state, easily initiation swarm and jostlement etc.
Safety accident.And causes of incident is other than in design unreasonable is deposited in public building place, it is often more important that in face of urgent
The contingency management measure of emergency event is not in place, leads to this evitable heavy congestion occur during crowd evacuation, to evacuation
Crowd brings the massive losses on life and property.Therefore, how to improve to the management of dense population evacuation is that public safety is ground
A major tasks in studying carefully.
Currently, researchers have been achieved for many achievements in evacuation research field.Such as by rationally advising
The Path selection during evacuating is drawn to improve evacuation efficiency；According to evacuation process feature adjustment evacuation Scenario Design；It establishes imitative
True mode simulates evacuation process of the pedestrian under different dangerous situations.These achievements effectively improve the effect of evacuation management work
Fruit.However, removing the above research, still there are some researchs that can influence to evacuate management effect not to be given sufficient attention.
Wherein, it is exactly one especially noticeable for evacuating the crowding analysis of crowd.
Crowding analysis is an important back work in evacuation management.Accurate crowding both can preferably be thin
Path planning in dissipating provides judgment basis, can also be used as the standard of adjustment evacuation Scenario Design.Meanwhile it can correct body
Now evacuating the crowded of crowd is also one of the important evidence for embodying simulation model effect.Therefore, it improves to the crowded degree of evacuation
Analysis for evacuation management have great significance.However compared to other researchs in crowd evacuation management, crowding point
The progress of analysis has obvious lag.In previous research, it is based purely on the method for density or based on the basic of stream concept
Figure method is the common method that crowded degree is evacuated in description.With the further development that crowd evacuation is studied, these methods are
The feature of evacuation crowd cannot be embodied completely.Such as these methods are difficult to embody pressure and crowded biography in dense population
Pass the influence to pedestrian's crowding.
Many researchers have been noted that this problem, and corresponding research has been carried out to this.Such as researchers
Think that crowding in current crowd can be measured with the variation tendency of speed according to evacuation crowd density in a period of time opposite
Higher region, the comparison of velocity variations embodies different transmission effects of the crowding in crowd between pedestrian；In order to more straight
The crowding of the embodiment pedestrian of sight is influenced by pressure, and some researchers propose pseudo- pressure in pedestrian's evacuation model of foundation
This concept of power describes influence of the crowded transmitting for pedestrian movement.These work have greatly facilitated crowding point
The research of analysis.But we it should also be recognized that, crowding analysis still has very big research space, and how to analyze evacuation crowd
In, the crowding that pedestrian's individual is subject in dense population, and embody as much as possible pedestrian's individual crowding and evacuation crowd it
Between relationship, be the task of top priority of current evacuation research.
Therefore, in order to which the crowding for preferably analyzing pedestrian's individual during evacuation is more accurate to provide for evacuation management
Information is evacuated, needing to find out one kind can comprehensively consider in the crowded degree of evacuation and crowd between the crowding of pedestrian's individual
Interactional method.
Summary of the invention
In order to solve the deficiencies in the prior art, present disclose provides based on pedestrian's crowding crowd evacuation emulation method,
System, equipment and medium have fully considered the characteristic of evacuation crowd, have judged gathering around for pedestrian according to different crowd density states
Restrained condition is squeezed, motion modeling method is evacuated by reference to existing crowding analysis method and pedestrian and is come in evacuation crowd
Pedestrian's individual establishes constraint condition, and the crowding of pedestrian is indicated eventually by the crowded restraining force for calculating pedestrian's individual.
In a first aspect, present disclose provides the crowd evacuation emulation methods based on pedestrian's crowding；
Crowd evacuation emulation method based on pedestrian's crowding, comprising:
Step (1): evacuation demographic data is obtained, determines pedestrian's present confinement state；
The restrained condition of pedestrian is divided into three kinds of situations:
Situation one: the movement of pedestrian is only by the constraint of itself active force；
Situation two: by the constraint force constraint of itself active force and pedestrian's local environment, itself active force is big for the movement of pedestrian
In the restraining force of pedestrian's local environment；
Situation three: by the constraint force constraint of itself active force and pedestrian's local environment, itself active force is small for the movement of pedestrian
In the restraining force of pedestrian's local environment；
Step (2): according to the current restrained condition of pedestrian, the restraining force of pedestrian is calculated；
For situation one, only by the constraint of itself active force, pedestrian is not affected by the influence of crowded restraining force for the movement of pedestrian,
Therefore the restraining force of pedestrian is 0；
For situation two, restraining force suffered by pedestrian is calculated with microcosmic pedestrian movement's model based on mechanics: passing through pedestrian
The active force of itself determines restraining force suffered by pedestrian with the current acceleration of pedestrian；
For situation three, restraining force suffered by pedestrian is calculated using based on macroscopical pedestrian movement's model: calculating evacuation crowd
Generalized force of the middle pedestrian's individual in density p determines restraining force suffered by pedestrian.
Step (3): the crowded restraining force according to suffered by pedestrian carries out crowded assessment to region locating for pedestrian, and according to commenting
Valuation calculates the probability that some evacuation path is selected when pedestrian's evacuation, and M evacuation path of maximum probability is supplied to evacuation people
Group, to realize the planning to crowd evacuation emulation path.
As some possible implementations, evacuation demographic data is obtained, refers to and obtains target evacuation crowd in setting area
The exercise data in domain, the exercise data include the position of every pedestrian and vector velocity in evacuation crowd；According to every pedestrian
Position and vector velocity calculate pedestrian locating for setting regions inner region density and zone velocity field；Vector velocity is to pass through unit
It is displaced to calculate in time Δ t；The areal concentration of target pedestrian is the setting square region by one centered on pedestrian
Pedestrian's number in domain；The zone velocity field of pedestrian is made of the vector velocity of pedestrians all in region.
As some possible implementations, the representation of situation one are as follows:
R*=Fs,0<ρ≤ρtrans；
Wherein, R*For the restrained condition of pedestrian, FsFor pedestrian itself active force, FsFor 1.5mi, miFor pedestrian's mass, setting
For 60kg.ρ is the crowd density in the setting detection space centered on pedestrian, as 0 < ρ≤ρtransWhen, the movement of pedestrian only by
Pedestrian itself active force FsIt determines；ρtransFor the density threshold of setting.
As some possible implementations, the representation of situation two are as follows:
Wherein,For pedestrian by local environment crowding to the crowded restraining force of pedestrian；Work as ρtrans<ρ≤ρcritWhen, row
The movement of people is by itself active force FsWith pedestrian by local environment crowding to the crowded restraining force of pedestrianIt determines, but itself
Active force plays a leading role；ρcritFor the density threshold of setting.
As some possible implementations, the representation of situation three are as follows:
Wherein, ρcrit<ρ≤ρmaxWhen, restraining force plays a leading role to the restrained condition of pedestrian at this time, ρmaxIt is maximum close
Degree.
As some possible implementations, with the constraint for describing pedestrian based on microcosmic pedestrian movement's model of mechanics
Power: pedestrian's own wt and acceleration product are first calculated, then calculates pedestrian itself active force FsWith the difference of the product, by institute
State restraining force of the difference as pedestrian.
As some possible implementations, with the restraining force for describing pedestrian based on microcosmic pedestrian movement's model of mechanics
Representation are as follows:
Wherein,For the acceleration of pedestrian, m is the quality of pedestrian.
For situation three, when calculating restraining force suffered by pedestrian, Consideration includes:
(1) when crowd density is larger, contact force of the pedestrian by multiple directions, the restraining force of pedestrian is all contact forces
Superposition, and when calculating the motion state of pedestrian, there is the phenomenon that cancelling out each other in the contact force of different directions；
(2) when crowd density is larger, crowded between pedestrian is between group caused by pressure transmitting.
As some possible implementations, the expression of restraining force suffered by pedestrian is calculated based on macroscopical pedestrian movement's model
Form are as follows:
Wherein,Indicate restraining force suffered by pedestrian, βiIndicate i-th pedestrian's current kinetic direction；FsIndicate pedestrian itself
Active force, A, B and C indicate coefficient constant；ρ indicates current time pedestrian area density；βiFor pedestrian in crowd itself speed
Unit vector, θ indicate pedestrian suffered by crowded restraining forceAngle between x-axis,Indicate pedestrian itself active force FsWith x-axis
Between angle, when establishing coordinate system to every pedestrian, x-axis is parallel with the currently practical direction of motion of pedestrian, pedestrian itself active force
FsDirection be its acceleration direction.
As some possible implementations, the representation of the crowded value valuation functions of pedestrian region are as follows:
Wherein, k is the path number for detecting pedestrian's affiliated area；T is evacuation time, and destination path is the progress with evacuation
And it changes；dkIt is shortest path of the pedestrian apart from path k；It is commenting for the degree of crowding in each specified region path k
Valuation；a1、a2It is weighting parameter, shows pedestrian to the degree of concern of each factor；
The assessed value of the degree of crowding of region Ω is specified on the k of pathAre as follows:
Wherein, j is the number that Ω one skilled in the art in region is specified on the k of path；It is the restraining force for the pedestrian being calculated.
As some possible implementations, some is selected to evacuate path when calculating pedestrian's evacuation according to crowded assessed value
Probability representation are as follows:
Wherein, PkFor the probability that the i-th paths are selected,Indicate the maximum path of preceding 5 assessed values.
Compared with prior art, the beneficial effect of the disclosure is:
(1) the crowded degree of evacuation of the invention is calculated using each pedestrian's individual as unit of account, and is pedestrian's individual
Monitoring region is established, according to the density and speed of monitoring region one skilled in the art, constraint condition is established for target pedestrian, thus according to row
It influences between the motion state of individual human and suffered population density to calculate the crowding of pedestrian's individual.It can be in this way emergency
It evacuates management work and more acurrate, effective pedestrian's status information is provided.
(2) when calculating the crowding of pedestrian's individual, this method has fully considered the physics of dense population under high density state
Influence of the contact force to pedestrian's congestion state, can when analyzing pedestrian's congestion state in embodiment crowd pressure transmitting, this has
Conducive to being found as early as possible because of dangerous situation caused by crowded.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is the flow diagram of pedestrian's individual crowding calculation method during calculating evacuation of the invention；
Fig. 2 is the structural schematic diagram of evacuation crowd and pedestrian monitoring region of the invention；
Fig. 3 is the schematic diagram of itself active force that pedestrian of the invention is subject to and crowded restraining force.
Fig. 4 is that the result for the example that method of the invention is applied in emulation experiment is shown.
Specific embodiment
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
Fig. 1 is a kind of flow diagram of pedestrian's individual congestion state calculation method in dense population in present example,
Pedestrian's crowding calculation method includes: in evacuation crowd in the present embodiment as shown in the figure
Step (1): evacuation demographic data is obtained；
Fig. 2 shows a case where dense population is by a certain scene, and the present invention is primarily directed to this crowd density
Larger situation.This method can be applied in the evacuation experiment and real video analysis of reality, also can be applied to base
In the analog simulation of evacuation pedestrian dummy.The method that evacuation data are extracted from real scene include by video analysis or
WiFi, bluetooth positioning etc..
Step (2): according to the data of extraction, the movement state information of pedestrian's individual in extraction crowd；
The present invention needs to obtain target pedestrian and monitors motion state of other pedestrians in current scene in region
Information, including evacuation pedestrian's individual movement information and region crowd movement's information.The movement state information of pedestrian's individual is as follows
It is shown:
{mi；ri(t):xi(t),yi(t)；Fs；I=1,2 ..., N },
Wherein, miIt is the quality of pedestrian.ri(t) be pedestrian location information, xi(t),yiIt (t) is position in two-dimensional space
In component, FsIt is pedestrian itself active force, N is the quantity for monitoring region one skilled in the art.The movement state information of individual can be from
It is directly acquired in evacuation data.
The monitoring region of every pedestrian is as shown in Figure 2 in the present invention.Region crowd movement's information includes the density p of crowd,
Velocity field Vρ, it is as follows:
{ρ；Vρ；},
Wherein, crowd density monitors the quantity of every square metre of pedestrian in region where passing through the pedestrian of congestion state to count
It calculates, the velocity field of crowd includes speed scalar sum directional velocity, and wherein speed scalar is by the constrained procedure meter in pertinent literature
It obtains, and directional velocity is the superposition in all pedestrian movement directions in crowd.
Step (3): evacuation pedestrian is established in the generalized coordinates of density p, the pact of pedestrian is calculated according to the generalized force of pedestrian
Beam force obtains the congestion state of pedestrian；Main process is as follows: Fig. 3 be itself active force for being subject to of pedestrian of the invention with
And crowded restraining force；
1. determining the constant needed in calculating process.It in the present invention, removes step (1), measurable pedestrian movement's letter in (2)
Breath is outer, and there are also some variables for needing to describe evacuation group characteristic, these variables were set according to the characteristics of evacuation crowd.Phase
Closing parameter includes: ρcrit, ρmax, ρtransAnd Fs.Wherein, ρtransIt is the density of pedestrian's energy free movement；ρcritIt is possible
Cause the density threshold of unsafe condition；ρmaxIt is maximal density, in the present invention, ρtrans=0.5m-2, ρcrit=2.8m-2, ρmax=
6m-2。
2. determining the current restraint condition of pedestrian.In the present invention, we will according to the density where pedestrian in monitoring region
The constraint of pedestrian is divided into three kinds of situations, as follows:
As 0 < ρ≤ρtransWhen, the movement of pedestrian is only by itself active force FsIt determines, at this time the unfettered power of pedestrian；When
ρtrans<ρ≤ρcritWhen, pedestrian is both by itself active force Fs, and by the restraining force of crowdBut since physics connects between pedestrian at this time
Seldom, restraining force is mainly psychological repulsion, therefore itself active force plays a leading role to the motion state variation of pedestrian for touching.We
With calculating this restraining force based on the method for the mechanical model of Newton's second law；Work as ρcrit<ρ≤ρmaxWhen, pedestrian at this time
Restraining force is mainly the physical contact force being subject in dense population, and the motion state of pedestrian is mainly determined by restraining force.By
Under high density state, the motion state of pedestrian cannot embody the restraining force that pedestrian is subject to completely, close in order to more accurately embody place
Pedestrian's congestion state under collection state, we are with a kind of constraint showed at this time based on the method for generalized coordinates and generalized force
Power.
3. calculating separately the restraining force of pedestrian under different conditions according to the restrained condition of pedestrian, the crowding of pedestrian is determined.
Work as ρtrans<ρ≤ρcritWhen, restraining force suffered by pedestrianCalculation it is as follows:
Wherein, FsIt is the active force of pedestrian,It is the acceleration of pedestrian at this time, μ is the displacement of interval time Δ t one skilled in the art.
Work as ρcrit<ρ≤ρmaxWhen, the restraining force of pedestrian at this time is calculated according to generalized force of the restraining force on ρ is calculated.Firstly, being pedestrian
Establish the generalized coordinates in density p.When density is higher, pedestrian itself speed can be indicated by crowd density, calculation
It is as follows:
fi(ρ)=βi·(A-Bρ)
βiFor pedestrian's present speed direction.
And when crowd density is higher, it is believed that the speed of pedestrian and the speed of crowd are consistent.
The speed calculation formula of crowd is as follows:
Therefore, generalized velocity of the pedestrian in dense population about density p is expressed as follows:
Wherein, xfWith yfIt is x-axis of the pedestrian under the effect of itself active force, the displacement component in y-axis, xrWith yrIt is pedestrian
X-axis under the effect of crowded restraining force, the displacement component in y-axis.When crowd density is higher, it is believed that pedestrian is in one kind
Approximate equilibrium state, according to the principle of virtual work, it is as follows that given force ties up to the virtual work that deformation is spatially pedestrian:
δ A indicates the virtual work that pedestrian is in stress system of pedestrian institute, and δ ρ is indicated in the tangible density p of stress system of institute of pedestrian to row
People's workmanship.
Therefore, the form of generalized force of pedestrian's individual in density p is as follows:
In conclusion restraining force Q are as follows:
An emulation embodiment is provided below:
When 300 pedestrians are gathered in an outlet, pedestrian movement's status information, Δ t can be extracted from crowd movement's data
It is 0.25s, the quality m of pedestrianiFor 60kg, itself active force of pedestrian is 90N.For each pedestrian, go first to obtain
The pedestrian of people establishes monitoring region as shown in Figure 2, at this time the density p of pedestriancrit<ρ≤ρmax, it is therefore desirable to macroscopic view constraint mould
Type calculates the crowding of pedestrian.The crowding of every pedestrian is calculated according to pedestrian movement's status information and respective formula,
We indicate the crowding of pedestrian by the depth of color, and the final crowded distribution for evacuating crowd is as shown in Figure 4.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (10)
1. the crowd evacuation emulation method based on pedestrian's crowding, characterized in that include:
Step (1): evacuation demographic data is obtained, determines pedestrian's present confinement state；
The restrained condition of pedestrian is divided into three kinds of situations:
Situation one: the movement of pedestrian is only by the constraint of itself active force；
Situation two: by the constraint force constraint of itself active force and pedestrian's local environment, itself active force, which is greater than, goes for the movement of pedestrian
The restraining force of people's local environment；
Situation three: by the constraint force constraint of itself active force and pedestrian's local environment, itself active force, which is less than, goes for the movement of pedestrian
The restraining force of people's local environment；
Step (2): according to the current restrained condition of pedestrian, the restraining force of pedestrian is calculated；
For situation one, the movement of pedestrian is only by the constraint of itself active force, and pedestrian is not affected by the influence of crowded restraining force, therefore
The restraining force of pedestrian is 0；
For situation two, restraining force suffered by pedestrian is calculated with microcosmic pedestrian movement's model based on mechanics: passing through pedestrian itself
Active force and pedestrian current acceleration determine restraining force suffered by pedestrian；
For situation three, restraining force suffered by pedestrian is calculated using based on macroscopical pedestrian movement's model: calculating row in evacuation crowd
Generalized force of the individual human in density p determines restraining force suffered by pedestrian；
Step (3): the crowded restraining force according to suffered by pedestrian carries out crowded assessment to region locating for pedestrian, and according to assessed value
The probability for selecting some evacuation path when pedestrian's evacuation is calculated, M evacuation path of maximum probability is supplied to evacuation crowd, from
And realize the planning to crowd evacuation emulation path.
2. the method as described in claim 1, characterized in that obtain evacuation demographic data, refer to that obtaining target evacuation crowd exists
The exercise data of setting regions, the exercise data include the position of every pedestrian and vector velocity in evacuation crowd；According to every
The position of name pedestrian and vector velocity calculate setting regions inner region density and zone velocity field locating for pedestrian；Vector velocity is logical
It crosses in unit time Δ t and is displaced to calculate；The areal concentration of target pedestrian be by a setting centered on pedestrian just
Pedestrian's number in square region；The zone velocity field of pedestrian is made of the vector velocity of pedestrians all in region.
3. the method as described in claim 1, characterized in that the representation of situation one are as follows:
R*=Fs,0<ρ≤ρtrans；
Wherein, R*For the restrained condition of pedestrian, FsFor pedestrian itself active force, FsFor 1.5mi, miFor pedestrian's mass, it is set as
60kg；ρ is the crowd density in the setting detection space centered on pedestrian, as 0 < ρ≤ρtransWhen, the movement of pedestrian is only gone
People itself active force FsIt determines；ρtransFor the density threshold of setting.
4. the method as described in claim 1, characterized in that the representation of situation two are as follows:
Wherein,For pedestrian by local environment crowding to the crowded restraining force of pedestrian；Work as ρtrans<ρ≤ρcritWhen, pedestrian's
Movement is by itself active force FsWith pedestrian by local environment crowding to the crowded restraining force of pedestrianIt determines, but itself is actively
Power plays a leading role；ρcritFor the density threshold of setting.
5. the method as described in claim 1, characterized in that the representation of situation three are as follows:
Wherein, ρcrit<ρ≤ρmaxWhen, restraining force plays a leading role to the restrained condition of pedestrian at this time, ρmaxFor maximal density.
6. the method as described in claim 1, characterized in that describe pedestrian's with based on microcosmic pedestrian movement's model of mechanics
Restraining force: pedestrian's own wt and acceleration product are first calculated, then calculates pedestrian itself active force FsWith the difference of the product,
Take the difference as the restraining force of pedestrian.
7. the method as described in claim 1, characterized in that describe pedestrian's with based on microcosmic pedestrian movement's model of mechanics
The representation of restraining force are as follows:
Wherein,For the acceleration of pedestrian, m is the quality of pedestrian.
8. the method as described in claim 1, characterized in that when calculating restraining force suffered by pedestrian, Consideration includes:
(1) when crowd density is larger, contact force of the pedestrian by multiple directions, the restraining force of pedestrian is the folded of all contact forces
When adding, and calculating the motion state of pedestrian, there is the phenomenon that cancelling out each other in the contact force of different directions；
(2) when crowd density is larger, crowded between pedestrian is between group caused by pressure transmitting.
9. the method as described in claim 1, characterized in that calculate restraining force suffered by pedestrian based on macroscopical pedestrian movement's model
Representation are as follows:
Wherein,Indicate restraining force suffered by pedestrian, βiIndicate i-th pedestrian's current kinetic direction；FsIndicate pedestrian itself actively
Power, A, B and C indicate coefficient constant；ρ indicates current time pedestrian area density；βiFor the list of pedestrian's itself speed in crowd
Bit vector, θ indicate crowded restraining force suffered by pedestrianAngle between x-axis,Indicate pedestrian itself active force FsFolder between x-axis
Angle, when establishing coordinate system to every pedestrian, x-axis is parallel with the currently practical direction of motion of pedestrian, pedestrian itself active force FsSide
To the direction for its acceleration.
10. the method as described in claim 1, characterized in that the representation of the crowded value valuation functions of pedestrian region
Are as follows:
Wherein, k is the path number for detecting pedestrian's affiliated area；T is evacuation time, and destination path is the progress with evacuation and sends out
Raw change；dkIt is shortest path of the pedestrian apart from path k；It is the assessed value of the degree of crowding in each specified region path k；
a1、a2It is weighting parameter, shows pedestrian to the degree of concern of each factor；
The assessed value of the degree of crowding of region Ω is specified on the k of pathAre as follows:
Wherein, j is the number that Ω one skilled in the art in region is specified on the k of path；It is the restraining force for the pedestrian being calculated；
The representation that the probability in some evacuation path is selected when pedestrian's evacuation is calculated according to crowded assessed value are as follows:
Wherein, PkFor the probability that the i-th paths are selected,Indicate the maximum path of preceding 5 assessed values.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111351489A (en) * | 2020-04-29 | 2020-06-30 | 金陵科技学院 | Nursing robot path planning method based on CNN and improved A-Star algorithm |
| CN113221856A (en) * | 2021-06-11 | 2021-08-06 | 石家庄铁道大学 | Crowd crowding risk degree detection method, device and equipment |
| CN114782898A (en) * | 2022-05-09 | 2022-07-22 | 山东师范大学 | Crowd congestion prediction method and system based on knowledge graph and regional crowd density |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104239636A (en) * | 2014-09-16 | 2014-12-24 | 北京航空航天大学 | Fire emergency evacuation simulation method |
| CN104680712A (en) * | 2015-01-28 | 2015-06-03 | 华南农业大学 | Anti-trampling prewarning system for people crowded region and implementation method for anti-treading prewarning system |
| CN106096072A (en) * | 2016-05-17 | 2016-11-09 | 北京交通大学 | Dense crowd emulation mode based on intelligent body |
| CN107292064A (en) * | 2017-08-09 | 2017-10-24 | 山东师范大学 | A kind of crowd evacuation emulation method and system based on many ant colony algorithms |
-
2018
- 2018-11-20 CN CN201811380035.7A patent/CN109190325B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104239636A (en) * | 2014-09-16 | 2014-12-24 | 北京航空航天大学 | Fire emergency evacuation simulation method |
| CN104680712A (en) * | 2015-01-28 | 2015-06-03 | 华南农业大学 | Anti-trampling prewarning system for people crowded region and implementation method for anti-treading prewarning system |
| CN106096072A (en) * | 2016-05-17 | 2016-11-09 | 北京交通大学 | Dense crowd emulation mode based on intelligent body |
| CN107292064A (en) * | 2017-08-09 | 2017-10-24 | 山东师范大学 | A kind of crowd evacuation emulation method and system based on many ant colony algorithms |
Non-Patent Citations (2)
| Title |
|---|
| HONG LIU 等: "Crowd evacuation simulation approach based on navigation knowledge and two-layer control mechanism", 《INFORMATION SCIENCES》 * |
| 李梁 等: "社会力模型特点分析与挤压力改进", 《山东师范大学学报（自然科学版）》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111351489A (en) * | 2020-04-29 | 2020-06-30 | 金陵科技学院 | Nursing robot path planning method based on CNN and improved A-Star algorithm |
| CN113221856A (en) * | 2021-06-11 | 2021-08-06 | 石家庄铁道大学 | Crowd crowding risk degree detection method, device and equipment |
| CN113221856B (en) * | 2021-06-11 | 2022-12-27 | 石家庄铁道大学 | Crowd crowding risk degree detection method, device and equipment |
| CN114782898A (en) * | 2022-05-09 | 2022-07-22 | 山东师范大学 | Crowd congestion prediction method and system based on knowledge graph and regional crowd density |
| CN114782898B (en) * | 2022-05-09 | 2023-04-07 | 山东师范大学 | Crowd congestion prediction method and system based on knowledge graph and regional crowd density |
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